论文标题
彩色图像分割指标
Color Image Segmentation Metrics
论文作者
论文摘要
自动图像分割过程是许多图像分析和计算机视觉的不可避免的一部分，它们对系统的其余部分深深地影响。因此，一组交互式分割评估方法可以基本简化系统开发过程。该条目通过对措施进行分析和比较综述，介绍了彩色图像分割方法的定量评估指标的现状。选择合适的评估度量的决策过程仍然非常严重，因为每个度量标准倾向于为每个基准数据集采用不同的分割方法。此外，对这些指标进行了概念比较，以高水平的抽象提供，并进行了讨论，以理解不同图像分割结果的定量变化。
An automatic image segmentation procedure is an inevitable part of many image analyses and computer vision which deeply affect the rest of the system; therefore, a set of interactive segmentation evaluation methods can substantially simplify the system development process. This entry presents the state of the art of quantitative evaluation metrics for color image segmentation methods by performing an analytical and comparative review of the measures. The decision-making process in selecting a suitable evaluation metric is still very serious because each metric tends to favor a different segmentation method for each benchmark dataset. Furthermore, a conceptual comparison of these metrics is provided at a high level of abstraction and is discussed for understanding the quantitative changes in different image segmentation results.
